@prefix adms: . @prefix dcat: . @prefix dct: . @prefix foaf: . @prefix owl: . @prefix rdfs: . @prefix skos: . @prefix xsd: . a dcat:Dataset ; dct:accessRights ; dct:bibliographicCitation "Wouters, H., Souverijns, N., Schouwenaars, F., & Veldeman, N. (2026). High-resolution (100 m) daily temperature and relative humidity dataset for Belgium for 2020 from UrbNet (Version v1) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.23416792" ; dct:creator [ a foaf:Person ; foaf:name "Veldeman, Nele" ], , , ; dct:description """This dataset provides high-resolution (100 m) meteorological information covering Belgium for the year 2020, generated using the UrbNet machine-learning framework (Souverijns et al., 2026). It includes daily minimum, mean and maximum near-surface (2 m) air temperature and relative humidity.\r \r UrbNet is a convolutional neural network trained to reproduce high-resolution simulations from the UrbClim urban climate model. By combining large-scale meteorological forcing from ERA5 reanalysis with detailed land-surface characteristics, including land use, vegetation cover, building density and topography, UrbNet generates spatially consistent meteorological fields at 100 m resolution across regional and national domains.\r \r The dataset captures fine-scale spatial variations in meteorological conditions, including urban heat island effects, temperature differences between built-up and vegetated areas, coastal influences and topographic variations. It thereby provides substantially more spatial detail than conventional meteorological reanalysis products. \r \r Dataset characteristics \r \r - Geographical coverage: Belgium \r - Temporal coverage: 1 January – 31 December 2020 \r - Spatial resolution: 100 m \r - Temporal resolution: Daily \r - Variables: Minimum, mean and maximum 2 m air temperature; Mean relative humidity \r - Data source: UrbNet, driven by ERA5 meteorological forcing and high-resolution land-surface information \r \r This dataset is released as a sample of the UrbNet high-resolution meteorological product, demonstrating its potential for urban climate analysis, heat exposure and heat stress assessments, climate adaptation planning, and environmental research. \r \r Data developed under [C3S National Collaboration Programme](https://climate.copernicus.eu/c3s-national-collaboration-programme), funded by EC and implemented by ECMWF.\r \r Methodological reference \r \r Souverijns, N., Wouters, H., Veldeman, N., Francis, D., and Broeckx, J. (2026). UrbNet: A machine-learning framework to replicate and upscale 100 m UrbClim urban climate simulations to regional domains. Manuscript under reivew.""" ; dct:identifier ; dct:issued "2026-10-19T15:44:51.547400"^^xsd:dateTime ; dct:modified "2026-10-21T12:55:00.372037"^^xsd:dateTime ; dct:publisher [ a foaf:Agent ; foaf:name "Zenodo" ] ; dct:rights "" ; dct:spatial ; dct:temporal [ a dct:PeriodOfTime ; dcat:endDate "2020-12-31"^^xsd:date ; dcat:startDate "2020-01-01"^^xsd:date ] ; dct:title "High-resolution (100 m) daily temperature and relative humidity dataset for Belgium for 2020 from UrbNet" ; owl:versionInfo "v1" ; adms:identifier [ a adms:Identifier ; skos:notation "https://doi.org/10.5281/zenodo.23416792" ] ; dcat:distribution , , , , ; dcat:keyword "UrbNet model", "Urban climate", "artificial intelligence", "convolutional neural network", "humidity", "temperature" ; dcat:landingPage ; dcat:theme . a dct:RightsStatement . a dct:Location ; skos:prefLabel "Belgium" . a dct:MediaTypeOrExtent . a dcat:Distribution ; dct:format ; dct:issued "2026-10-19T15:44:51.563799"^^xsd:dateTime ; dct:license ; dct:modified "2026-10-19"^^xsd:date ; dct:title "urbnet_temperature_dailymin_2020.nc" ; dcat:accessURL ; dcat:byteSize "1102724566"^^xsd:nonNegativeInteger ; dcat:downloadURL ; dcat:mediaType . a dcat:Distribution ; dct:format ; dct:issued "2026-10-19T15:44:51.563796"^^xsd:dateTime ; dct:license ; dct:modified "2026-10-19"^^xsd:date ; dct:title "urbnet_temperature_dailymax_2020.nc" ; dcat:accessURL ; dcat:byteSize "929888486"^^xsd:nonNegativeInteger ; dcat:downloadURL ; dcat:mediaType . a dcat:Distribution ; dct:format ; dct:issued "2026-10-19T15:44:51.563793"^^xsd:dateTime ; dct:license ; dct:modified "2026-10-19"^^xsd:date ; dct:title "urbnet_temperature_dailymean_2020.nc" ; dcat:accessURL ; dcat:byteSize "1030753443"^^xsd:nonNegativeInteger ; dcat:downloadURL ; dcat:mediaType . a dcat:Distribution ; dct:description "Daily maximum temperature (degree Celsius) for 7 July 2025 for Belgium based on UrbNet" ; dct:format ; dct:issued "2026-10-21T12:17:24.606585"^^xsd:dateTime ; dct:license ; dct:modified "2026-10-21T12:46:32.415143"^^xsd:dateTime ; dct:title "Example map" ; dcat:accessURL ; dcat:byteSize "865998"^^xsd:nonNegativeInteger ; dcat:downloadURL ; dcat:mediaType . a dcat:Distribution ; dct:format ; dct:issued "2026-10-19T15:44:51.563801"^^xsd:dateTime ; dct:license ; dct:modified "2026-10-19"^^xsd:date ; dct:title "urbnet_relative_humidity_dailymean_2020.nc" ; dcat:accessURL ; dcat:byteSize "1296139017"^^xsd:nonNegativeInteger ; dcat:downloadURL ; dcat:mediaType . a adms:Identifier . a foaf:Person ; rdfs:seeAlso ; foaf:name "Wouters, Hendrik" . a foaf:Person ; rdfs:seeAlso ; foaf:name "Souverijns, Niels" . a foaf:Person ; foaf:name "Schouwenaars, Filip" . a dct:MediaType . a foaf:Document . a dct:MediaTypeOrExtent . a dct:MediaType . a dct:LicenseDocument ; dct:type .